class_docstr: Vision Transformer Model.
class_docstr_tok: ["Vision","Transformer","Model","."]
code: def forward(self, input):
      hidden_states = self.backbone(input)
  
      if self.post_process:
          hidden_states = self.head(hidden_states)
  
      return hidden_states
  
file_path: megatron-lm/megatron/model/vision/classification.py
imports: import torch
  from torch.nn.init import trunc_normal_
  from megatron import get_args
  from megatron.model.utils import get_linear_layer
  from megatron.model.vision.vit_backbone import VitBackbone, VitMlpHead
  from megatron.model.vision.mit_backbone import mit_b3_avg
  from megatron.model.module import MegatronModule
label_desc: Use image node_id 3 for calling the VitClassificationModel obj's underlying member method code with example usage: obj.forward(input) and returns: hidden_states